$(function() {
  $('input[type="text"],select,textarea', ".login-box,section.content")
    .first()
    .focus();
  $(".form-group .has-error")
    .first()
    .next("input,select,textarea")
    .focus();

  $("section.content input").keypress(function(e) {
    if (e.which === 13) {
      var $submitButton = $("input#submit, button#submit");
      if ($submitButton.size() > 0) {
        $submitButton[0].submit();
      }

                        "200": {
                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        },
                        "422": {
                            "description": "Validation Error",
                            "content": {
                                "application/json": {
                                    "schema": {

        final InputStream in = ResourceUtil.getResourceAsStream("extractor/zip/test.zip");
        final String content = zipExtractor.getText(in, null).getContent();
        CloseableUtil.closeQuietly(in);
        logger.info(content);
        assertTrue(content.contains("テスト"));
        assertTrue(content.contains("テキスト"));
    }

    public void test_getText_maxSize() throws IOException {

Ensuite, nous utilisons directement la requête et extrayons son contenu en tant qu'octets. Cela signifie que FastAPI n'essaiera même pas d'analyser le payload de la requête en tant que JSON.

Et nous analysons directement ce contenu YAML, puis nous utilisons à nouveau le même modèle Pydantic pour valider le contenu YAML :

{* ../../docs_src/path_operation_advanced_configuration/tutorial007.py hl[26:33] *}

	region := globalSite.Region()
	return region == "" || region == location
}

// Supported headers that needs to be extracted.
var supportedHeaders = []string{
	"content-type",
	"cache-control",
	"content-language",
	"content-encoding",
	"content-disposition",
	"x-amz-storage-class",
	xhttp.AmzStorageClass,
	xhttp.AmzObjectTagging,
	"expires",
	xhttp.AmzBucketReplicationStatus,

      Request
        .Builder()
        .url("https://square.com/")
        .post("This is the original message".toRequestBody())
        .addHeader("Content-Encoding", "deflate")
        .gzip()
        .build()
    }.also {
      assertThat(it).hasMessage("Content-Encoding already set: deflate")
    }
  }

  @Test
  fun cannotGzipTwice() {
    assertFailsWith<IllegalStateException> {
      Request

                            "content": {
                                "application/json": {
                                    "schema": {},
                                },
                            },
                            "description": "Successful Response",
                        },
                        "422": {
                            "content": {

        CloseableUtil.closeQuietly(in);

        final String content = extractData.getContent();
        logger.info(content);

        // Verify content contains expected fields
        assertTrue(content.contains("title"));
        assertTrue(content.contains("Sample Document"));
        assertTrue(content.contains("author"));
        assertTrue(content.contains("John Doe"));

        // Verify metadata extraction

        <jsp:param name="menuCategoryType" value="suggest"/>
        <jsp:param name="menuType" value="elevateWord"/>
    </jsp:include>
    <main class="content-wrapper">
        <div class="content-header">
            <div class="container-fluid">
                <div class="row mb-2">
                    <div class="col-sm-6">
                        <h1>

        <jsp:param name="menuCategoryType" value="crawl"/>
        <jsp:param name="menuType" value="pathMapping"/>
    </jsp:include>
    <main class="content-wrapper">
        <div class="content-header">
            <div class="container-fluid">
                <div class="row mb-2">
                    <div class="col-sm-6">
                        <h1>